AI Prompts for Feature Engineering — prompt 8

You are designing time-based features for {dataset_description} containing temporal data to predict {target_variable}. Extract meaningful temporal patterns including: trend features (moving averages, velocity, acceleration), cyclical patterns (seasonal decomposition, day-of-week effects), lag features and rolling statistics, time-since-event calculations, and sequence-based features. Structure your approach to handle {computational_constraints} while maximizing predictive signal for {model_type}.